Gurney Kevin R, Dass Pawlok, Kato Anna, Mitra Bhaskar, Nematchoua Modeste Kameni
School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, 86001, USA.
Sci Data. 2024 Dec 18;11(1):1344. doi: 10.1038/s41597-024-04180-5.
This paper introduces and describes a dataset representing United States carbon dioxide (CO) emissions from electricity consumption (scope 2 CO emissions) for the 2019-2021 time period separately for the residential, commercial, and industrial sectors. The spatial resolution is the U.S. census block group at annual time resolution. We also provide state-scale aggregate data. Given the increased interest in greenhouse gas mitigation at the urban landscape scale, this data offers the opportunity to better understand the emitting landscape and craft more targeted, efficient policy instruments. The approach starts with well-established estimates of scope 2 CO emissions at larger scales and performs a series of downscaling steps to allocate scope 2 emissions into block groups. This open-access scope 2 CO emissions dataset and methodology is valuable for a wide range of multidisciplinary studies, including climate science, environmental policy, urban planning, and socioeconomic research.
本文介绍并描述了一个数据集,该数据集分别呈现了2019 - 2021年期间美国住宅、商业和工业部门因电力消费产生的二氧化碳(CO₂)排放(第2类CO₂排放)。空间分辨率为美国人口普查街区组,时间分辨率为年度。我们还提供了州级汇总数据。鉴于城市景观尺度上对温室气体减排的关注度不断提高,这些数据为更好地了解排放格局以及制定更具针对性、更有效的政策工具提供了机会。该方法从对更大尺度上第2类CO₂排放的既定估计开始,并执行一系列降尺度步骤,将第2类排放分配到街区组中。这个开放获取的第2类CO₂排放数据集和方法对于广泛的多学科研究很有价值,包括气候科学、环境政策、城市规划和社会经济研究。